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AWESOME_REID.html
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<div class="section" id="awesome-reid">
<h1>Awesome-ReID<a class="headerlink" href="#awesome-reid" title="Permalink to this headline"></a></h1>
<p>Here is a collection of ReID-related research with links to codes and papers. You are welcome to submit <a class="reference external" href="https://help.github.com/articles/creating-a-pull-request/">PR</a>s if you find something missing.</p>
<p>Here is a collection of ReID-related research with links to papers and code. You are welcome to submit <a class="reference external" href="https://help.github.com/articles/creating-a-pull-request/">PR</a>s if you find something missing.</p>
<div class="section" id="conferences">
<h2>Conferences<a class="headerlink" href="#conferences" title="Permalink to this headline"></a></h2>
<ul class="simple">
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<li>Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [<a class="reference external" href="https://arxiv.org/abs/1904.01990">paper</a>][<a class="reference external" href="https://github.com/zhunzhong07/ECN">code</a>]</li>
<li>Dissecting Person Re-identification from the Viewpoint of Viewpoint. [<a class="reference external" href="https://arxiv.org/abs/1812.02162">paper</a>][<a class="reference external" href="https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint">code</a>]</li>
<li>Unsupervised Person Re-identification by Soft Multilabel Learning. [<a class="reference external" href="https://arxiv.org/abs/1903.06325">paper</a>][<a class="reference external" href="https://github.com/KovenYu/MAR">code</a>]</li>
<li>Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification. [<a class="reference external" href="https://kovenyu.com/publication/2019-cvpr-pedal/">paper</a>][<a class="reference external" href="https://github.com/QizeYang/PAUL">code</a>]</li>
</ul>
</div>
<div class="section" id="aaai-2019">

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# Awesome-ReID
Here is a collection of ReID-related research with links to codes and papers. You are welcome to submit [PR](https://help.github.com/articles/creating-a-pull-request/)s if you find something missing.
Here is a collection of ReID-related research with links to papers and code. You are welcome to submit [PR](https://help.github.com/articles/creating-a-pull-request/)s if you find something missing.
## Conferences
- **[CVPR 2019](#cvpr-2019)**
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- Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [[paper](https://arxiv.org/abs/1904.01990)][[code](https://github.com/zhunzhong07/ECN)]
- Dissecting Person Re-identification from the Viewpoint of Viewpoint. [[paper](https://arxiv.org/abs/1812.02162)][[code](https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint)]
- Unsupervised Person Re-identification by Soft Multilabel Learning. [[paper](https://arxiv.org/abs/1903.06325)][[code](https://github.com/KovenYu/MAR)]
- Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification. [[paper](https://kovenyu.com/publication/2019-cvpr-pedal/)][[code](https://github.com/QizeYang/PAUL)]
### AAAI 2019

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